Michael Kampffmeyer

,

Visual Intelligence

Professor

,

UiT The Arctic University of Norway

UiT The Arctic University of Norway

Principal investigator of


Research field(s) of interest:

Publications

Publications from Visual Intelligence

Better, Not Just More: Data-centric machine learning for Earth observation

By authors:

Roscher, Ribana; Russwurm, Marc; Gevaert, Caroline; Kampffmeyer, Michael Christian; Santos, Jefersson A. Dos; Vakalopoulou, Maria; Hansch, Ronny; Hansen, Stine; Nogueira, Keiller; Prexl, Jonathan; Tuia, Devis

Published in:

EEE Geoscience and Remote Sensing Magazine 2024 s. 1-22

on

October 31, 2024

LSNetv2: Improving weakly supervised power line detection with bipartite matching

By authors:

Tran, Duy Khoi; Nguyen, van Nhan; Roverso, Davide; Jenssen, Robert; Kampffmeyer, Michael Christian.

Published in:

Expert Systems with Applications, Volume 250 , 2024, 123773

on

September 15, 2024

PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding

By authors:

Pan, Yi; Zhang, Yujia; Kampffmeyer, Michael Christian; Zhao, Xiaoguang.

Published in:

2024 International Joint Conference on Neural Networks (IJCNN). IEEE conference proceedings 2024 ISBN 979-8-3503-5931-2

on

September 9, 2024

An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images

By authors:

Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric Xing

Published in:

Applied Soft Computing, Volume 163 , 111855

on

September 1, 2024

Leveraging tensor kernels to reduce objective function mismatch in deep clustering

By authors:

Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael Christian

Published in:

Pattern Recognition

on

May 1, 2024

Prototypical Self-Explainable Models Without Re-training

By authors:

Gautam, Srishti; Boubekki, Ahcene; Höhne, Marina Marie-Claire; Kampffmeyer, Michael Christian.

Published in:

Transactions on Machine Learning Research (TMLR)

on

May 1, 2024

DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning

By authors:

C. Choi, S. Yu, M. Kampffmeyer, A. -B. Salberg, N. O. Handegard and R. Jenssen

Published in:

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 7170-7174

on

April 14, 2024

Deep-learning-derived input function in dynamic [18F]FDG PET imaging of mice

By authors:

Kuttner, Samuel; Luppino, Luigi Tommaso; Convert, Laurence; Sarrhini, Otman; Lecomte, Roger; Kampffmeyer, Michael Christian; Sundset, Rune; Jenssen, Robert.

Published in:

Frontiers in Nuclear Medicine

on

April 11, 2024

PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping

By authors:

Lin, Luoyang; Jiang, Zutao; Liang, Xiaodan; Ma, Liqian; Kampffmeyer, Michael Christian; Cao, Xiaochun.

Published in:

Proceedings of the AAAI Conference on Artificial Intelligence, 38(4), 3441-3449

on

March 24, 2024

Defending Against Poisoning Attacks in Federated Learning with Blockchain

By authors:

Dong, Nanqing; Wang, Zhipeng; Sun, Jiahao; Kampffmeyer, Michael Christian; Knottenbelt, William; Xing, Eric.

Published in:

IEEE Transactions on Artificial Intelligence (TAI)

on

March 18, 2024

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